This course provides a statistically rigorous framework for moving beyond mere correlation to accurately measure the causal impact of business initiatives. Dr. Howard Friedman’s expert instruction ensures that participants gain the technical and strategic confidence needed to prove program value and drive evidence-based financial decisions. It is good for everyone especially for Financial Management students.
Program Evaluation for Data Science
With Howard Friedman
Liked by 17 users
Duration: 1h 39m
Skill level: Advanced
Released: 8/18/2025
Course details
This course empowers you to apply program evaluation to your data science projects. Learn the best practices of some of the main methods for program evaluation including A/B testing, difference-in-difference, regression discontinuity, interrupted time series, and matching problems. As part of these best practices, learn how to identify when A/B testing is not sufficient or possible and then apply your knowledge to determine if programs had an impact across a large variety of examples that leverage different methods.
This course includes AI-powered Role Play. Role Play allows you to practice what you’ve learned in interactive simulations of real-world conversations.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 7 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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